基于DE-EDA多目标优化的受电弓模糊控制

针对传统控制器参数整定算法不能兼顾多个性能指标的问题，就受电弓-接触网的接触力控制问题设计了基于差分进化-分布估计算法（DE-EDA）的模糊控制器。以接触力的方差、误差的积分和控制器输出能量为优化目标，以模糊控制器量化因子和比例因子为优化变量，建立多目标优化模型。与LQR受电弓最优控制进行对比，仿真结果表明了所提出的基于DE-EDA多目标优化的模糊控制器的有效性与优越性。

Control of pantograph based on DE-EDA multi-objective opti-mization

For the shortage of the traditional parameter setting algorithms of the controller that are unable to consider the muliti-object performance indicators, based on DE-EDA a fuzzy controller is designed on the contact force control of the pantograph-catenary. The multi-object model is designed with the contact load variance, the integration of the error, the control energy as the optimization target and the proportional factor and quantization factor of the fuzzy controller as the optimization variables. The simulation results compared with the LQR control method show that the proposed fuzzy controller based on DE-EDA has effectiveness and superiority.